Multilingual site hreflang usage - html

We have a global website showing unique content for each separate country. We have some problems about hreflang usage. Our site structure is like this:
Main portal:
example.com
If visitor from Germany, he will redirected to:
de.example.com
If this German visitor prefers to change language into English, he will open this page:
de.example.com/en
Each subdomain has different content, so de.example.com has content for Germany and fr.example.com has content for France and not the same. If the visitor from a country prefers to change the language, let's say German visitor from France, he will open:
fr.example.com/de
So for this situation how can we use the hreflang and x-default tags?

The hreflang attribute (not tag) won’t help you at all. It is just declarative, indicating the language of the linked resource.
There is no x-default tag or attribute in HTML.
As regards to your problem, you have not described what the problem is. If it is about designing and implementing a multilingual site, as opposite to solving some specific problems with it, I’m afraid it is off-topic at SO due to being too broad.

Related

Rel canonical without a primary URL

Background: We have a situation where the customer can select in which places to publish a content on a website. If it’s a municipality website, an article describing a playground could be published both in the “For families” section and “Parks” section. In some government site with instructions for companies divided into sections by company types: Instructions that are identical for all companies will be published in all company type sections. There is often no definite primary place that is more right than the others.
The CMS renders top, bottom and side content relevant to the part of the site where you are, so only the content part is identical between locations.
Questions:
Do I need rel canonical for URLs inside the same site, or is it only for external links?
If I need them, can I somehow specify that they are all “primary” or did I already do that by not having a the canonical tag at all?
Do search engines generally show pages that has the canonical tag?
If you want to merge internal pages, then yes, a canonical is required for those pages.
By setting a canonical, the target URL will be displayed preferably by Google.
No, they display the page that is linked to in the canonical.

Can I denote the language of each page of my website so that Google won't show contents of a foreign to a user?

I have a website that contains both Chinese and English contents (and they are different, NOT translations of each others). When some English users search the name of my site on Google, some Chinese contents also appear on the search result. Can I avoid this? Is there any HTML markup I can use to indicate the content language of each page? Thanks a lot!
Google ignores HTML code when determining language (such as LANG attributes). Instead it determines the page's language from the content.
They suggest having different subdomains or URL indicators for differing content (e.g. en.mypage.com and cn.mypage.com - or mypage.com/cn/content) and making sure boilerplate code is different (your site headers, navigation, etc should be localized, not just the content body).
More information is available on Webmaster Tools

address tag for seo help google?

does address HTML tag helps for SEO, it shows map when searching??
If it does, i need that for events website, so can i set address tag display: hidden, and seo will work fine?
<address style="display:hidden">
Box 564, Disneyland
USA
</address>
or it needs to be displayed on website?
Should i use it on website for events?
Or i need to use some other tags for this kind of website?
There is no reason to expect that search engines do anything specific with address elements. By the specification, such an element specifies contact information for the author of the page (or part of a page), but actual usage of address is mixed. The best search engines can do with address markup is to ignore the tags.
A more constructive approach is to use low-level metadata as per Event at Schema.org. However, it seems that search engines use such markup only for major commercial and community sites only, where the markup is generally generated from a database rather than handcrafted.

How does Google use HTML tags to enhance the search engine?

I know that Google’s search algorithm is mainly based on pagerank. However, it also does analysis and uses the structure of the document H1, H2, title and other HTML tags to enhance the search results.
What is the name of this technique "using the document structure to enhance the search results"?
And are there any academic papers to help me study this area?
The fact that Google is taking the HTML structure into account is well covered in SEO articles however I could not find it in the academic papers.
I think it's called "Semantic Markup"
[...] semantic markup is markup that is descriptive enough to allow us and the machines we program to recognize it and make decisions about it. In other words, markup means something when we can identify it and do useful things with it. In this way, semantic markup becomes more than merely descriptive. It becomes a brilliant mechanism that allows both humans and machines to “understand” the same information. http://www.digital-web.com/articles/writing_semantic_markup/
A more practical article here
http://robertnyman.com/2007/10/29/explaining-semantic-mark-up/
SEO has become almost a religion to some people where they obsess about minutiae. Frankly, I'm not convinced that all this effort is justified.
My advice? Ignore what so-called pundits say and just follow Google's guidelines.
You might be looking for an academic answer but honestly, this isn't an academic question beyond the very basics of how Web indexing works. The reality of a modern page indexing and ranking algorithm is far more complex.
You may want to look at one of the earlier works on search engines. Note the authors' names. You may also want to read Google Patent application 20050071741.
These general principles aside, Google's search algorithm is constantly tweaked based on actual and desired results. The exact workings are a closely guarded secret just to make it harder for people to game the system. Much of the "advice" or descriptions on how Google's search algorithm works is pure supposition.
So, apart from having a title and having well-formed and valid HTML, I don't think you're going to find what you're looking for.
Google very deliberately doesn't give away too much information about its search algorithm, so it's unlikely you will find a definitve answer or academic paper that confirms this. If you're interested from an SEO point of view, just write your pages so they are good for humans and the robots will like them too.
To make a page good for humans, you SHOULD use tags such as h1, h2 and so on to create a hierarchical page outlay... a bit like this...
h1 "Contact Us"
...h2 "Contact Details"
......h3 "Telephone Numbers"
......h3 "Email Addresses"
...h2 "How To Find Us"
......h3 "By Car"
......h3 "By Train"
The difficulty with your question is that if you put something in your h1 tag hoping that it would increase your position in Google, but it didn't match up with other content on your page, you could look like you are spamming. Similarly, if your page is made up of too many headings and not enough actual content, you could look like you are spamming. It's not as simple as add a h1 and h2 tag and you'll go up! That's why you need to write websites for humans, not robots.
I have found this paper:
A New Study on Using HTML Structures to Improve Retrieval
however it is an old paper 1999,
still looking for more recent papers.
Check out
http://jcmc.indiana.edu/vol12/issue3/pan.html
http://www.springerlink.com/content/l22811484243r261/
Some time spent on scholar.google.com might help you find what you are looking for
You can also try searching the 'Computer Science' section of arXiv: http://arxiv.org for "search engine" and the various terms that others have suggested.
It contains many academic papers, all freely available... hopefully some of them will be relevant to your research. (Of course the caveat of validating any paper's content applies.)
Like cletus said follow the google guidelines.
I did a few tests came to the conclusion that title, image alt and h tags the most important. Also worth to mention is google adsense. I had the feeling if you implement these, the rank of your site increase.
I believe what you are interested in is called structural-fingerprinting, and it is often used to determine the similarity of two structures. In Google's case, applying a weight to different tags and applying to a secret algorithm that (probably) uses the frequencies of the different elements in the fingerprint. This is deeply routed in information theory - if you are looking for academic papers on information theory, I would start with "A Mathematical Theory of Communication" by Claude Shannon
I would also suggest looking at Microformats and RDF's. Both are used to enhance searching. These are mostly search engine agnostic, but there are some specific things as well. For google specific guidelines for HTML content read this link.
In short; very carefully. In long:
Quote from anatomy of a large-scale hypertextual erb search engine:
[...] This gives us some limited
phrase searching as long as there are
not that many anchors for a particular
word. We expect to update the way that
anchor hits are stored to allow for
greater resolution in the position and
docIDhash fields. We use font size
relative to the rest of the document
because when searching, you do not
want to rank otherwise identical
documents differently just because one
of the documents is in a larger
font. [...]
It goes on:
[...] Another big difference between
the web and traditional well controlled collections is that there
is virtually no control over what
people can put on the web. Couple
this flexibility to publish anything
with the enormous influence of search
engines to route traffic and companies
which deliberately manipulating search
engines for profit become a serious
problem. This problem that has not
been addressed in traditional closed
information retrieval systems. Also,
it is interesting to note that
metadata efforts have largely failed
with web search engines, because any
text on the page which is not directly
represented to the user is abused to
manipulate search engines. [...]
The Challenges in a web search engine addresses these issues in a more modern fashion:
[...] Web pages in HTML fall into the middle of this continuum of structure in documents, being neither close to free text nor to well-structured data. Instead HTML markup provides limited structural information, typically used to control layout but providing clues about semantic information. Layout information in HTML may seem of limited utility, especially compared to information contained in languages like XML that can be used to tag content, but in fact it is a particularly valuable source of meta-data in unreliable corpora such as the web. The value in layout information stems from the fact that it is visible to the user [...]:
And adds:
[...] HTML tags can be analyzed for what semantic information can be inferred. In addition to the header tags mentioned above, there are tags that control the font face (bold, italic), size, and color. These can be analyzed to determine which words in the document the author thinks are particularly important. One advantage of HTML, or any markup language that maps very closely to how the content is displayed, is that there is less opportunity for abuse: it is difficult to use HTML markup in a way that encourages search engines to think the marked text is important, while to users it appears unimportant. For instance, the fixed meaning of the tag means that any text in an HI context will appear prominently on the rendered web page, so it is safe for search engines to weigh this text highly. However, the reliability of HTML markup is decreased by Cascading Style Sheets which separate the names of tags from their representation. There has been research in extracting information from what structure HTML does possess.For instance, [Chakrabarti etal, 2001; Chakrabarti, 2001] created a DOM tree of an HTML page and used this information to in-crease the accuracy of topic distillation, a link-based analysis technique.
There are number of issues a modern search engine needs to combat, for example web spam and blackhat SEO schemes.
Combating webspam with trustrank
Webspam taxonomy
Detecting spam web pages through content analysis
But even in a perfect world, e.g. after eliminating the bad apples from the index, the web is still an utter mess because no-one has identical structures. There are maps, games, video, photos (flickr) and lots and lots of user generated content. In other word, the web is still very unpredictable.
Resources
Hypertext and the web:
Extracting knowledge from the World Wide Web
Rich media and web 2.0
Thresher: automating the unwrapping of semantic content from the World Wide Web
Information retrieval
Webspam papers
Combating webspam with trustrank
Webspam taxonomy
Detecting spam web pages through content analysis
To keep it painfully simple. Make your information architecture logical. If the most important elements for user comprehension are highlighted with headings and grouped logically, then the document is easier to interpret using information processing algorithms. Magically, it will also be easier for users to interpret. Remember the search engine algorithms were written by people trying to interpret language.
The Basic Process is:
Write well structured HTML - using header tags to indicate the most critical elements on the page. Use logical tags based on the structure of your information. Lists for lists, headers for major topics.
Supply relevant alt tags and names for any visual elements, and then use simple css to arrange these elements.
If the site works well for users and contains relevant information, you don't risk becoming a black listed spammer, and search engine algorithms will favor your page.
I really enjoyed the book Transcending CSS
for a clean explanation of properly structured HTML.
I suggest trying Google scholar as one of your avenues when looking for academic articles
semantic search
I found it interesting that - with no meta keywords nor description provided - in a scenatio like this:
<p>Some introduction</p>
<h1>headline 1</h1>
<p>text for section one</p>
Always the "text for section one" is shown on the search result page.
New tag to use called CANONICAL can now also be used, from Google, click HERE

<cite> as part of semantic markup

One of the sites I develop has lots of information linked between each other; we have companies, we have products for those companies. The company page links to the page listing the products for that company, and vice versa.
From the HTML spec:
CITE:
Contains a citation or a reference to other sources.
Does this imply that I could (semantically) use a <cite> for a company link? What about on the company page to a product?
If not, could someone tell me what might be the "correct" semantic tag for this?
If you're just linking to other pages then semantically you should just use <a href=...>. If you're quoting a small piece of information, like the information from the HTML spec in your question, and providing a link to the original source, you might use <cite>. Think of it as a citation in a book or research paper.
I'm not sure that cite is intended to mark up links - you may be looking at something akin to a more professional (less inter-personal) XFN using the rel attribute of the link.
Cite is more for marking up titles of articles or other created work.
XFN is specifically for marking up the relationship you (or your company) have with the person or company you are linking to. What I'm not sure of is what xfn values there are (if any) for company links.
http://reference.sitepoint.com/html/xfn
What you might consider is in what detail will the information be used? Semantic markup, although a noble direction to head in, is not yet utilised to it's full extent when looking at (by a human) or parsing (by a program) a resource.